Google Professional Cloud Database Engineer exam dumps

Google Professional Cloud Database Engineer practice question 127 of 259

Professional Cloud Database Engineer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud Database Engineer Question 127

Select 3Google Cloud Platform

Your team has deployed a Cloud SQL instance in Google Cloud, and during a high-traffic event, your application begins to encounter quota errors. Upon investigation, you discover that the CPU quota in the region is being exhausted. What steps should you take to address this issue and ensure continued application availability?

  1. A

    Request a quota increase for the CPU in the affected region through the Google Cloud Console.

  2. B

    Use the Google Cloud CLI (gcloud) to monitor current quota usage and identify if any unnecessary resources are consuming excess CPU.

  3. C

    Migrate the Cloud SQL instance to a region with higher available CPU quota.

  4. D

    Upgrade the Cloud SQL instance to a higher machine type to avoid quota limits.

  5. E

    Implement autoscaling for the Cloud SQL instance to dynamically adjust quotas during high-traffic events.

Show answer and explanation

Correct answers: A, B, C

Explanation

When encountering quota exhaustion, the best practices involve requesting a quota increase, monitoring and optimizing resource usage, or migrating workloads to regions with available quotas. Other options, such as upgrading the machine type or enabling autoscaling, are not applicable in this scenario as they do not address project-level quota limits or are unsupported by Cloud SQL.

  • A. Correct.

    Correct: Requesting a quota increase is a standard approach to address quota exhaustion. This ensures you have enough capacity to meet demand.

  • B. Correct.

    Correct: Monitoring quota usage can help identify and release unused or unnecessary resources, potentially freeing up quota capacity.

  • C. Correct.

    Correct: Migrating to a region with sufficient CPU quota is a viable workaround if a quota increase request is not immediately approved.

  • D. Incorrect.

    Incorrect: Upgrading the machine type of the Cloud SQL instance does not solve the CPU quota issue, as quotas are allocated at the project level, not instance level.

  • E. Incorrect.

    Incorrect: Autoscaling for Cloud SQL instances is not supported. Quotas must be managed manually or through quota increase requests.

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